new_boot_ML: Create new boot_ML class object

In emery: Accuracy Statistic Estimation for Imperfect Gold Standards

Create new boot_ML class object

Description

Wrapper for creating boot_ML class object.

Usage

new_boot_ML(v_0, v_star, data, n_boot, n_study, max_iter, tol, n_obs, seed)

Arguments

v_0	MultiMethodMLEstimate S4 object
v_star	results slot of bootstrapped MultiMethodMLEstimate objects
data	An n_obs by n_method matrix containing the observed values for each method. If the dimensions are named, row names will be used to name each observation (obs_names) and column names will be used to name each measurement method (method_names).
n_boot	number of bootstrap estimates to compute
n_study	sample size to select for each bootstrap estimate
max_iter	The maximum number of EM algorithm iterations to compute before reporting a result.
tol	The minimum change in statistic estimates needed to continue iterating the EM algorithm.
n_obs	Number of observations in data
seed	optional seed for RNG

Value

a boot_ML object

emery documentation built on June 9, 2025, 5:09 p.m.